Distributed Systems Engineer
Fluidstack4 months ago
Base Salary
$208k - $269k/yr
Responsibilities
- Own the fleet observability platform, including data pipelines, decoration and correlation, health checks, and telemetry from sites to devices and links.
- Define versioned APIs and contracts for production infrastructure and internal fleet management tools.
- Build and operate the Kubernetes-based production control plane for machine management, state inspection, and distributed command execution.
- Maintain fleet state as a source of truth across provisioning, operations, infrastructure management, and customer-facing platforms.
- Own SLOs, site lifecycle state, and the systemic resolution of incidents and reliability issues.
- Integrate new XPU generations and sites through ZTP, DHCP, DNS, and artifact management.
Requirements
- Treat operational toil as an automation problem and take ownership through ambiguity.
- Have experience designing APIs that remain effective at scale and shipping production services used by other teams.
- Be comfortable with on-call operations, incident leadership, postmortems, and fixing systemic causes.
- Be able to learn unfamiliar domains quickly and work effectively across languages with AI coding tools.
- Be familiar with LLM APIs, MCP servers, agentic frameworks, Claude Code, Cursor, or similar tools.
- Distributed systems, data pipeline engineering, time-series observability, API versioning, workflow orchestration, hardware telemetry, Go, Python, and Postgres are bonus qualifications.
Benefits
- Competitive total compensation package including salary and equity.
- Retirement or pension plan in line with local norms.
- Health, dental, and vision insurance.
- Generous paid time off in line with local norms.
Tech Stack
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.